2012
DOI: 10.1016/j.dark.2012.10.002
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Numerical simulations of the dark universe: State of the art and the next decade

Abstract: We present a review of the current state of the art of cosmological dark matter simulations, with particular emphasis on the implications for dark matter detection efforts and studies of dark energy. This review is intended both for particle physicists, who may find the cosmological simulation literature opaque or confusing, and for astro-physicists, who may not be familiar with the role of simulations for observational and experimental probes of dark matter and dark energy. Our work is complementary to the co… Show more

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Cited by 192 publications
(185 citation statements)
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References 419 publications
(588 reference statements)
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“…Here, we describe three discrepancies, and show how two of them may point beyond CCDM in the form of DM self-interactions. We emphasize, however, that the situation remains far from clear, and ultimately more detailed numerical simulations including baryonic effects are required before drawing definitive conclusions [27,28].…”
Section: Self-interacting Dark Matter and Small Scale Structurementioning
confidence: 99%
“…Here, we describe three discrepancies, and show how two of them may point beyond CCDM in the form of DM self-interactions. We emphasize, however, that the situation remains far from clear, and ultimately more detailed numerical simulations including baryonic effects are required before drawing definitive conclusions [27,28].…”
Section: Self-interacting Dark Matter and Small Scale Structurementioning
confidence: 99%
“…The current state-of-theart cosmological hydrodynamic simulations such as the Illustris Simulation ) and the Eagle Simulation have significantly advanced our understanding of the highly nonlinear processes of galaxy formation. However, while N -body simulations performed with different codes produced consistent properties of the dark matter halos (e.g., Diemand et al 2008;Springel et al 2008;Stadel et al 2009;Kim et al 2014) and large-scale structures (e.g., Springel 2012; Kuhlen et al 2012), hydrodynamic simulations using different numerical methods and physical models have not been able to achieve such a consensus. On the cosmic scale, while the Illustris Simulation, which used the moving-mesh code Arepo (Springel 2010a), and the Email:qxz125@psu.edu Eagle Simulation, which used a variant of the smoothed particle hydrodynamics (SPH) code Gadget (Springel et al 2001;Springel 2005), show overall agreement on the global star formation history (Sparre et al 2015;Schaye et al 2015) and stellar mass functions Furlong et al 2015), significant discrepancies remain in a number of galaxy properties such as galaxy color bimodality Trayford et al 2015) and cluster gas fraction Genel et al (2014); Schaye et al (2015).…”
Section: Introductionmentioning
confidence: 99%
“…[322] for a recent review on N-body simulations). Nowadays, supercomputers are capable of following the evolution of billions to trillions of particles in cosmological volumes; however, upcoming observational missions place higher and higher demands on the realism required by cosmological codes.…”
Section: Simulating the Universementioning
confidence: 99%